Latest game
VictoryRanked
M.
MAM.Updated 2 days ago
Steam
JapanC100%
SteamJapanC100%yoshidakabi
Yoga Pioneer
MR 1,771#14,300Last 105–5+1Last 2011–9+17
Winrate
57%
20W · 15L · 35 stored
Ranked matches
35
selected mode
Wins
20
Ranked
Losses
15
Ranked
Peak MR
1,795
M. Bison
Ranked MR · M. Bison
35 local · 0 imported · 35 on chart · 61 battles stored
Replay not requested
M.MAPlaystyle reference
Habits vs top 30 M. Bison
Benchmark refreshed Sep 13, 2026, 1:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
M.Largest absolute differences first23 habits
| Habit | yoshidakabi | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 22.4% | 30.0% | -7.6% | |
| SA1 | 40.0% | 33.7% | +6.3% | |
| SA2 | 17.1% | 21.0% | -3.8% | |
| Drive Arts | 21.5% | 18.7% | +2.7% | |
| Drive Guard | 15.8% | 13.4% | +2.4% | |
| SA3 | 32.9% | 35.2% | -2.3% | |
| Drive Rush (parry) | 9.0% | 7.2% | +1.8% | |
| Corner pressure | 12.70 | 11.91 | +0.79 | |
| Drive Impact gauge | 2.1% | 1.5% | +0.6% | |
| Got thrown | 2.00 | 2.59 | -0.59 | |
| Throws | 2.00 | 2.42 | -0.42 | |
| Drive Parry | 2.10 | 1.75 | +0.35 | |
| Time cornered | 9.50 | 9.85 | -0.35 | |
| Drive Reversal | 0.60 | 0.33 | +0.27 | |
| Perfect Parry | 0.50 | 0.74 | -0.24 | |
| CA | 10.0% | 10.2% | -0.2% | |
| Throw techs | 0.40 | 0.57 | -0.17 | |
| Drive Impact | 0.30 | 0.19 | +0.11 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 |
FROM STATS TO PRACTICE
Latest 100Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
M. Bison · Latest 100
What to improve
Study a recurring matchup situation
vs Char 253: 176 wins in 327 games
Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.
Try thisPick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.
Supporting stats
- vs Char 253: 176 wins in 327 games
- vs Alex: 24 wins in 42 games
- vs Yasmine: 19 wins in 38 games
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.07
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.
Supporting stats
- Got Punish Countered: profile 0.1 · reference 0.07
- Punish Counters landed: profile 0.2 · reference 0.1
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 10, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 176 wins in 327 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs Char 253: 176 wins in 327 games
- vs Alex: 24 wins in 42 games
Separate a tendency from a one-off event
Recent stored ranked sample: 20 wins in 35 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 20 wins in 35 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.07
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.1 · reference 0.07
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 10, 2026 · AI: nex-agi/nex-n2.5-mini:free